New Technology Trends Watch: An Approach and Case Study

  • Irina V. Efimenko
  • Vladimir F. Khoroshevsky
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8722)


A hybrid approach to automated identification and monitoring of technology trends is presented. The hybrid approach combines methods of ontology based information extraction and statistical methods for processing OBIE results. The key point of the approach is the so called ‘black box’ principle. It is related to identification of trends on the basis of heuristics stemming from an elaborate ontology of a technology trend.


New technology trend monitoring statistical method linguistic method hybrid approach knowledge discovery ontology-based information extraction time series tag cloud Gartner Hype Cycle 


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  1. 1.
    Boyack, K.W., Klavans, R., Börner, K.: Mapping the backbone of science. Scientometrics 64, 351–374 (2005)CrossRefGoogle Scholar
  2. 2.
    Daud, A., Li, J., Zhou, L., Muhammad, F.: Knowledge discovery through directed probabilistic topic models: a survey. Frontiers of Computer Science in China 4(2), 280–301 (2010)CrossRefGoogle Scholar
  3. 3.
    Wimalasuriya, D.C., Dou, D.: Ontology-based information extraction: an introduction and a survey of current approaches. Journal of Information Science 36(3), 306–323 (2012)CrossRefGoogle Scholar
  4. 4.
    Preotiuc-Pietro, D., Samangooei, S., Cohn, T., Gibbins, N., Niranjan, M.: Trendminer: An Architecture for Real Time Analysis of Social Media Text. In: Workshop on Real-Time Analysis and Mining of Social Streams (RAMSS), International AAAI Conference on Weblogs and Social Media (ICWSM), Dublin (June 2012)Google Scholar
  5. 5.
    Erdi, P., Makovi, K., et al.: Prediction of emerging technologies based on analysis of the US patent citation network. Scientometrics 95(1), 225–242 (2013)CrossRefGoogle Scholar
  6. 6.
    Li, H., Xu, F., Uszkoreit, H.: TechWatchTool: Innovation and Trend Monitoring. In: Proc. of the International Conference on Recent Advances in Natural Language Processing, RANLP 2011, Tissar, Bulgaria, pp. 660–665 (2011)Google Scholar
  7. 7.
    Khoroshevsky, V.: Discovering New Technological Trends in Texts Collections: Hybrid Models and Data Patterns Time Series Analysis. Information-measuring and Control Systems (5), 19–25 (2013) (in Russian)Google Scholar
  8. 8.
    Grissa-Touzi, A., Ben Massoud, H., Ayadi, A.: Automatic Ontology Generation for Data Mining Using FCA and Clustering. CoRR (2013),

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Irina V. Efimenko
    • 1
  • Vladimir F. Khoroshevsky
    • 1
    • 2
  1. 1.Center for Information Intelligence Applications of Institute for Statistical Studies and Economics of KnowledgeNRU HSEMoscowRussia
  2. 2.Dorodnicyn Computing Center of RASMoscowRussia

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